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Efficiency of Transport Infrastructure in Asian Russia, China, Mongolia, and Kazakhstan in the Context of Creating New Trans-Eurasian Transport Corridors

Author

Listed:
  • Tumun Sh. Rygzynov

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Valentin S. Batomunkuev

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Bair O. Gomboev

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Suocheng Dong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Bayanzhargal B. Sharaldaev

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Valentina G. Ayusheeva

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Aldar G. Badmaev

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Marina A. Motoshkina

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Natalya R. Zangeeva

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Aryuna B. Tsybikova

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Vitaly E. Tsydypov

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Daba Ts.-D. Zhamyanov

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Zorikto E. Banzaraktcaev

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Aleksei V. Alekseev

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Dmitry V. Popov

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia)

  • Tcogto Zh. Bazarzhapov

    (Baikal Institute of Nature Management, Siberian Branch of the Russian Academy of Sciences, 670047 Ulan-Ude, Russia
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

This article discusses the efficiency of transport infrastructure and cooperation of neighboring regions located in Asian Russia, China, Mongolia, and Kazakhstan in the context of creating new international economic corridors from the Silk Road and trans-Eurasian transport corridors. This study aims to highlight the possible ways of strengthening cross-border cooperation in the field of transport infrastructure. We evaluated the current state of the transport infrastructure, the dynamics of its development, and its influence on the territorial–production complex. Using quantitative data and the unified indicator for the efficiency of transport infrastructure, we also characterized the territorial differentiation, its causes, and prerequisites for further economic and trade cooperation between these countries. The main results are as follows: (1) The lowest levels of the efficiency of transport infrastructure are typical for the northeast of Asian Russia, as well as for the border regions of China, Mongolia, and Kazakhstan. (2) For Asian Russia, Kazakhstan, and Mongolia, the highest levels of the unified indicator are typical for regions located along the main transport routes and for regions with a developed mining industry. This is due to the strong unevenness of the socio-economic development of the territories. (3) The largest industrial and economic centers have been developing along the main transport corridors primarily due to the accumulated potential of equivalent freight turnover and export potential. This study can be useful for authorities and business, as well as for other users of transport infrastructure to improve its regulation and efficiency.

Suggested Citation

  • Tumun Sh. Rygzynov & Valentin S. Batomunkuev & Bair O. Gomboev & Suocheng Dong & Bayanzhargal B. Sharaldaev & Valentina G. Ayusheeva & Aldar G. Badmaev & Marina A. Motoshkina & Natalya R. Zangeeva & A, 2023. "Efficiency of Transport Infrastructure in Asian Russia, China, Mongolia, and Kazakhstan in the Context of Creating New Trans-Eurasian Transport Corridors," Sustainability, MDPI, vol. 15(12), pages 1-13, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9714-:d:1173571
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    References listed on IDEAS

    as
    1. Xinhai Lu & Mengcheng Wang & Yifeng Tang, 2021. "The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China," Land, MDPI, vol. 10(4), pages 1-15, March.
    2. Narthsirinth Netirith & Mingjun Ji, 2022. "Analysis of the Efficiency of Transport Infrastructure Connectivity and Trade," Sustainability, MDPI, vol. 14(15), pages 1-12, August.
    3. Yadi Zhu & Feng Chen & Zijia Wang & Jin Deng, 2019. "Spatio-temporal analysis of rail station ridership determinants in the built environment," Transportation, Springer, vol. 46(6), pages 2269-2289, December.
    4. Erdeni D. Sanzheev & Anna S. Mikheeva & Petr V. Osodoev & Valentin S. Batomunkuev & Arnold K. Tulokhonov, 2020. "Theoretical Approaches and Practical Assessment of Socio-Economic Effects of Desertification in Mongolia," IJERPH, MDPI, vol. 17(11), pages 1-20, June.
    5. Tomasz Komornicki & Sławomir Goliszek, 2023. "New Transport Infrastructure and Regional Development of Central and Eastern Europe," Sustainability, MDPI, vol. 15(6), pages 1-24, March.
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